YoVDO

How to Build TensorFlow Pipelines with tf.data.Dataset

Offered By: James Briggs via YouTube

Tags

TensorFlow Courses Machine Learning Courses

Course Description

Overview

Learn how to build efficient input pipelines for machine learning using TensorFlow's tf.data.Dataset API in this 31-minute tutorial. Explore techniques for creating optimized data processing workflows in TensorFlow 2, enhancing your model training performance. Discover the power of tf.data for handling large datasets, implementing data augmentation, and improving overall efficiency in your machine learning projects. Gain practical insights into leveraging the tf.data API to streamline your data preparation and boost your model's training speed.

Syllabus

How to Build TensorFlow Pipelines with tf.data.Dataset


Taught by

James Briggs

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent